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Variational Inference

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TitleStatusHype
Fast Dual Variational Inference for Non-Conjugate LGMs—0
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions—0
Faster variational inducing input Gaussian process classification—0
Fast moment estimation for generalized latent Dirichlet models—0
Fast nonparametric clustering of structured time-series—0
Fast Second-Order Stochastic Backpropagation for Variational Inference—0
Fast Second Order Stochastic Backpropagation for Variational Inference—0
Fast Variational Inference for Large-scale Internet Diagnosis—0
Fast variational Bayes methods for multinomial probit models—0
Fast Variational Inference in the Conjugate Exponential Family—0
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows—0
Favour: FAst Variance Operator for Uncertainty Rating—0
f-Divergence Thermodynamic Variational Objective: a Deformed Geometry Perspective—0
f-Divergence Variational Inference—0
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes—0
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models—0
Federated Empirical Risk Minimization via Second-Order Method—0
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework—0
Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation—0
Federated Variational Inference for Bayesian Mixture Models—0
Federated Variational Inference Methods for Structured Latent Variable Models—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
FedHB: Hierarchical Bayesian Federated Learning—0
Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities—0
Few Shot Activity Recognition Using Variational Inference—0
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